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Exploring Generative 3D Shapes Using Autoencoder Networks
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models
Diffusion Models: DDPM | Generative AI Animated
CSC2547 Learning Generative Models of 3D Structures
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking
Generating 3D Models with Diffusion - Computerphile
GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation - CVPR 2024
Generative Neural Scene Representations for 3D-Aware Image Synthesis - Andreas Geiger
Multi-View 3D Object Reconstruction and Uncertainty Modelling With Neural Shape Prior
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Last Updated: October 14, 2026
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3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models All parts combined into one video Written version at huggingface.co/learn/ml-for- Project: ziyaerkoc.com/hyperdiffusion Implicit This is the official introduction video of our CVPR 2023 paper. Project page: bluestyle97.github.io/dream3d/. Recent ... We propose a new algorithm for converting unstructured triangle meshes into ones with a consistent topology for machine ... Authors: Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, Baoquan Chen Description: We introduce PQ-NET, a deep Paper: arxiv.org/abs/2312.11417 We introduce PolyDiff, the first The first 500 people to use my link skl.sh/deepia05251 will get a 1 month free trial of Skillshare! In this video you'll learn ... Project: vveicao.github.io/projects/Motion2VecSets/ Paper: arxiv.org/abs/2401.06614 We introduce Motion2VecSets, ... Authors: Ziwei Liao; Steven L. Waslander Description:
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